Empirical analysis of impacts of instance-driven changes in ontologies

Authors:
Yalemisew M. Abgaz;Muhammad Javed;Claus Pahl
Affiliations:
Centre for Next Generation Localization, School of Computing, Dublin City University, Dublin 9, Ireland;Centre for Next Generation Localization, School of Computing, Dublin City University, Dublin 9, Ireland;Centre for Next Generation Localization, School of Computing, Dublin City University, Dublin 9, Ireland
Venue:
OTM'10 Proceedings of the 2010 international conference on On the move to meaningful internet systems
Year:
2010

Citing 8
Cited 2

Data Model Evolution as Basis of Business Process Management

OOER '95 Proceedings of the 14th International Conference on Object-Oriented and Entity-Relationship Modelling
Ontologies for Enterprise Knowledge Management

IEEE Intelligent Systems
Ontology evolution as reconfiguration-design problem solving

Proceedings of the 2nd international conference on Knowledge capture
Understanding ontology evolution: A change detection approach

Web Semantics: Science, Services and Agents on the World Wide Web
Evaluating the validity of data instances against ontology evolution over the Semantic Web

Information and Software Technology
A Pattern-Based Framework of Change Operators for Ontology Evolution

OTM '09 Proceedings of the Confederated International Workshops and Posters on On the Move to Meaningful Internet Systems: ADI, CAMS, EI2N, ISDE, IWSSA, MONET, OnToContent, ODIS, ORM, OTM Academy, SWWS, SEMELS, Beyond SAWSDL, and COMBEK 2009
Semantic annotation for knowledge management: Requirements and a survey of the state of the art

Web Semantics: Science, Services and Agents on the World Wide Web
Consistent evolution of OWL ontologies

ESWC'05 Proceedings of the Second European conference on The Semantic Web: research and Applications

A framework for change impact analysis of ontology-driven content-based systems

OTM'11 Proceedings of the 2011th Confederated international conference on On the move to meaningful internet systems
Dependency analysis in ontology-driven content-based systems

ICAISC'12 Proceedings of the 11th international conference on Artificial Intelligence and Soft Computing - Volume Part II

Quantified Score

Hi-index	0.00

Visualization

Abstract

Changes in the characterization of instances in digital content are one of the rationales to evolve ontologies that support a domain. These changes can have impacts on one or more of interrelated ontologies. Before implementing changes, their impact on the target ontology, other dependent ontologies or dependent systems should be analysed. We investigate three concerns for the determination of impacts of changes in ontologies: representation of changes to ensure minimum impact, impact determination and integrity determination. Key elements of our solution are the operationalization of changes to minimize impacts, a parameterization approach for the determination of impacts, a categorization scheme for identified impacts, and prioritization technique for change operations based on the severity of impacts.